The hottest Algorithm Substack posts right now

And their main takeaways
Category
Top Technology Topics
Technology Made Simple 19 implied HN points 27 Jul 22
  1. Designing a stack that supports push, pop, top, and retrieving the minimum element in constant time is a common problem in coding interviews and competitive programming.
  2. Implementing a solution for the Min Stack problem requires tracking the minimum element seen up to each layer of the stack using two stacks for efficiency.
  3. Building a base solution for the Min Stack problem by initializing two stacks, and optimizing the solution by removing redundancies can distinguish a good solution from a great one in interviews.
Cybernetic Forests 39 implied HN points 14 Mar 21
  1. Contemporary computing culture stems from a simple idea of punch cards, leading to a series of binary choices that automate decisions.
  2. Yuk Hui suggests viewing organisms as behaviors of their components and interactions, blurring the lines between organic and built systems.
  3. Hui encourages a shift from mechanistic thinking to understanding machines based on their behaviors, interactions, and integration into human lives.
Get a weekly roundup of the best Substack posts, by hacker news affinity:
PashaNomics 2 implied HN points 02 Apr 23
  1. Good social media algorithms should focus on improving user experience and positive user engagement, rather than just efficiency.
  2. Transparency in algorithm criteria and decision-making is crucial for understanding how the algorithm functions and analyzing its impact.
  3. Algorithm improvements should aim to fulfill user expectations, promote positive behavior, and avoid incentivizing negative interactions, such as hate engagements.
Joshua Gans' Newsletter 19 implied HN points 24 Aug 20
  1. During the Covid-19 pandemic, the challenges of grading students became pronounced, resulting in significant issues with assessment and grading strategies in educational institutions.
  2. The UK's Ofqual algorithm for adjusting predicted grades and translating them to final grades during the pandemic resulted in unfair outcomes, with significant disparities in grading and allocation of University places.
  3. Utilizing algorithms for student grading during crisis situations should incorporate considerations for bias and adjust predicted grades accordingly, to avoid harmful outcomes and ensure fair assessment.
PashaNomics 1 implied HN point 03 Apr 23
  1. Twitter's algorithm includes features like Out-Of-Network tweets, Heavy Ranker, and Post-Ranker changes.
  2. There are concerns about the impact of algorithmic features on user well-being and engagement.
  3. Recommendations to Twitter include promoting transparency, adjusting algorithm features, and considering the overall user experience.
Links I Would Gchat You If We Were Friends 0 implied HN points 04 Mar 22
  1. TikTok's recommendation algorithm and user engagement lead to content that is titillating and participatory, influencing the way users consume information.
  2. The increase in social media users has led to a higher volume of content being created and shared, impacting how information and narratives spread, especially in times of conflict.
  3. The perception of social media has shifted significantly over the years, with mainstream media now acknowledging the importance of the social media narrative in shaping public opinion and influencing beliefs.
Links I Would Gchat You If We Were Friends 0 implied HN points 02 Feb 16
  1. Beware of fake profiles in online dating sites, the use of fake bots is widespread and many people have fallen victim to them.
  2. Wikipedia can be a predictor of the presidential race and wikipedians have a significant influence on public opinion.
  3. Algorithms are both simpler and more complex than they seem, reading up on them could be beneficial.
Simplicity is SOTA 0 implied HN points 22 May 23
  1. Two-tower models are a technique being used in academia to improve ranking systems by looking into how position and user behavior affects clicks.
  2. Critiques have been raised against the two-tower models, questioning if they effectively separate biases and relevance in ranking.
  3. A new method called GradRev is emerging as a potential improvement over the previous two-tower models, applying a different approach to address bias in learning-to-rank systems.
Technology Made Simple 0 implied HN points 23 Dec 21
  1. The problem involves minimizing cost while ensuring no neighboring houses have the same color. This can be represented using a matrix.
  2. Brute force can be initially used to explore all combinations, but dynamic programming is a more efficient approach in this scenario. Dynamic programming optimizes calculations by avoiding unnecessary computations.
  3. By utilizing dynamic programming, we can efficiently calculate the minimum cost of painting the houses with different colors. This method involves maintaining a matrix cache to track the costs and ensure the color constraint is met.